@inproceedings{41d8109f828e4b86b2be3e32bee692a7,
title = "An optical, endoscopic brush for high-yield diagnostics in esophageal cancer",
abstract = "Barrett{\textquoteright}s esophagus is the main pre-cancer risk factor for the development of esophageal adenocarcinoma. Over the last decades, the incidence rate of esophageal adenocarcinoma increases exponentially in the Western World. Endoscopic screening and minimally-invasive treatment of Barrett{\textquoteright}s esophagus are challenging due to large surface area of the lining (1-20 cm). Current microendoscopy technologies have shown high specificity; however, its sensitivity is low due to tiny field-of-view (the probe diameter is 100-1000 µm). Therefore, we proposed a novel approach with end-expandable optical fiber brush to collect endoscopic sparse imaging data and deep learning super-resolution enhancement to provide high yield diagnostics.",
keywords = "Barrett{\textquoteright}s esophagus, Deep learning, Endomicroscopy, Esophageal cancer, Sparse imaging, Super-resolution",
author = "S. Anandasabapathy and X. Zhang and M. Anastasio and R. Richards-Kortum and E. Petrova",
note = "Publisher Copyright: {\textcopyright} 2021 SPIE; Endoscopic Microscopy XVI 2021 ; Conference date: 06-03-2021 Through 11-03-2021",
year = "2021",
doi = "10.1117/12.2583301",
language = "English",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Tearney, {Guillermo J.} and Wang, {Thomas D.} and Suter, {Melissa J.}",
booktitle = "Endoscopic Microscopy XVI",
address = "United States",
}